What is the current concentration of sulfur dioxide (SO2) in Richland Township, Pennsylvania?

The current sulfur dioxide (SO2) concentration at Richland Township, Pennsylvania is 0.282 ppb.

What is the current concentration of ozone (O3) in Richland Township, Pennsylvania?

The current ozone (O3) concentration at Richland Township, Pennsylvania is 27.851 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Richland Township, Pennsylvania?

The current nitrogen dioxide (NO2) concentration at Richland Township, Pennsylvania is 3.638 ppb.

Richland Township, Pennsylvania live air quality index now

Q: What is the current concentration of PM2.5 in Richland Township, Pennsylvania?

The current PM2.5 concentration at Richland Township, Pennsylvania is 5.3 μg/m3.

Q: What is the current concentration of PM10 in Richland Township, Pennsylvania?

The current PM10 concentration at Richland Township, Pennsylvania is 28.531 μg/m3.

Stay updated with real-time air quality in Richland Township, Pennsylvania featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Richland Township, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Richland Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.32 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.95 μg/m³

155

255

425

605+

Ozone (O₃)

23.73 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.55 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Richland Township, Pennsylvania

Get Live Pollen Counts

Richland Township, Pennsylvania

Scroll To Air Quality Map

Track live Richland Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	22 \| good	2.525 \| good	13.505 \| good	24.271 \| good	0.229 \| good	7.027 \| good	0.27 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.797 \| good	15.268 \| good	19.585 \| good	0.249 \| good	8.238 \| good	0.27 \| good
2025-10-21T06:00:00.000Z	20 \| good	3.333 \| good	17.643 \| good	21.718 \| good	0.245 \| good	5.891 \| good	0.18 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.219 \| good	19.526 \| good	18.501 \| good	0.214 \| good	6.832 \| good	0.23 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.636 \| good	17.113 \| good	15.849 \| good	0.256 \| good	5.4 \| good	0.208 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.982 \| good	17.989 \| good	10.199 \| good	0.256 \| good	7.857 \| good	0.208 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.968 \| good	21.552 \| good	10.367 \| good	0.387 \| good	10.053 \| good	0.244 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.93 \| good	17.244 \| good	12.286 \| good	0.384 \| good	12.406 \| good	0.243 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.828 \| good	20.141 \| good	7.038 \| good	0.569 \| good	14.832 \| good	0.382 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.565 \| good	23.299 \| good	7.791 \| good	0.738 \| good	13.435 \| good	0.463 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.662 \| good	24.936 \| good	6.447 \| good	0.986 \| good	14.423 \| good	0.493 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.921 \| good	31 \| good	11.915 \| good	1.586 \| good	13.366 \| good	0.37 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.643 \| good	34.472 \| good	16.973 \| good	1.634 \| good	11.021 \| good	0.317 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.14 \| good	18.84 \| good	22.199 \| good	1.032 \| good	10.105 \| good	0.258 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.767 \| good	17.502 \| good	27.946 \| good	0.54 \| good	5.937 \| good	0.268 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.725 \| good	15.129 \| good	33.036 \| good	0.532 \| good	5.296 \| good	0.241 \| good
2025-10-21T20:00:00.000Z	32 \| good	2.817 \| good	11.654 \| good	35.13 \| good	0.316 \| good	5.648 \| good	0.241 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.243 \| good	15.271 \| good	39.266 \| good	0.301 \| good	6.369 \| good	0.281 \| good
2025-10-21T22:00:00.000Z	35 \| good	3.143 \| good	13.183 \| good	38.062 \| good	0.339 \| good	9.32 \| good	0.281 \| good
2025-10-21T23:00:00.000Z	32 \| good	3.503 \| good	19.398 \| good	34.508 \| good	0.346 \| good	19.16 \| good	0.308 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.755 \| good	26.355 \| good	31.339 \| good	0.352 \| good	14.836 \| good	0.334 \| good
2025-10-22T01:00:00.000Z	27 \| good	4.738 \| good	24.988 \| good	23.556 \| good	0.386 \| good	18.5 \| good	0.334 \| good
2025-10-22T02:00:00.000Z	23 \| good	4.49 \| good	18.704 \| good	25.491 \| good	0.246 \| good	17.427 \| good	0.297 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	9.645 \| good	43.158 \| good	24.743 \| good	2.23 \| good	9 \| good	0.192 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.255 \| good	28.977 \| good	26.054 \| good	0.329 \| good	14.191 \| good	0.296 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.1 \| good	30.4 \| good	24.294 \| good	0.309 \| good	12.301 \| good	0.246 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.85 \| good	35.216 \| good	25.354 \| good	0.277 \| good	12.826 \| good	0.246 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.441 \| good	28.865 \| good	20.8 \| good	0.294 \| good	14.025 \| good	0.246 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.668 \| good	25.446 \| good	25.676 \| good	0.304 \| good	10.099 \| good	0.12 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.062 \| good	25.71 \| good	21.497 \| good	0.295 \| good	12.096 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	38 \| good	6.541 \| good	33.377 \| good	19.362 \| good	0.285 \| good	11.744 \| good	0.291 \| good
2025-10-22T11:00:00.000Z	38 \| good	6.795 \| good	29.375 \| good	19.45 \| good	0.156 \| good	12.045 \| good	0.291 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	10.094 \| good	40.629 \| good	15.818 \| good	0.187 \| good	9.93 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	52 \| moderate	9.835 \| good	32.53 \| good	15.915 \| good	0.189 \| good	9.423 \| good	0.341 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.808 \| good	16.279 \| good	20.104 \| good	0.331 \| good	5.394 \| good	0.28 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.908 \| good	25.211 \| good	23.549 \| good	0.399 \| good	5.636 \| good	0.28 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.806 \| good	16.941 \| good	25.23 \| good	0.304 \| good	5.066 \| good	0.246 \| good
2025-10-22T17:00:00.000Z	27 \| good	5.3 \| good	28.531 \| good	27.851 \| good	0.282 \| good	3.638 \| good	0.219 \| good
2025-10-22T18:00:00.000Z	29 \| good	2.88 \| good	17.489 \| good	30.715 \| good	0.257 \| good	3.334 \| good	0.18 \| good
2025-10-22T19:00:00.000Z	28 \| good	2.66 \| good	11.302 \| good	29.632 \| good	0.248 \| good	2.841 \| good	0.18 \| good
2025-10-22T20:00:00.000Z	25 \| good	2.861 \| good	13.03 \| good	27.026 \| good	0.274 \| good	4.006 \| good	0.23 \| good
2025-10-22T21:00:00.000Z	26 \| good	3.128 \| good	12.768 \| good	27.796 \| good	0.236 \| good	4.006 \| good	0.204 \| good
2025-10-22T22:00:00.000Z	26 \| good	3.131 \| good	13.296 \| good	27.981 \| good	0.245 \| good	4.089 \| good	0.204 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.388 \| good	13.335 \| good	28.827 \| good	0.242 \| good	6.192 \| good	0.23 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.302 \| good	17.129 \| good	26.744 \| good	0.272 \| good	9.426 \| good	0.254 \| good
2025-10-23T01:00:00.000Z	23 \| good	4.184 \| good	14.159 \| good	24.589 \| good	0.79 \| good	9.536 \| good	0.268 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.32 \| good	19.946 \| good	23.733 \| good	0.245 \| good	10.553 \| good	0.268 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.32 \| good	19.946 \| good	23.733 \| good	0.245 \| good	10.553 \| good	0.268 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.569 \| good	15.912 \| good	33.236 \| good	1.261 \| good	1.846 \| good	0.135 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.835 \| good	16.801 \| good	31.189 \| good	1.286 \| good	2.272 \| good	0.139 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.396 \| good	15.036 \| good	30.476 \| good	1.31 \| good	2.697 \| good	0.143 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.595 \| good	10.294 \| good	30.019 \| good	1.38 \| good	4.064 \| good	0.153 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.296 \| good	14.111 \| good	26.274 \| good	1.449 \| good	5.43 \| good	0.163 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.639 \| good	20.18 \| good	23.137 \| good	1.518 \| good	6.797 \| good	0.174 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.542 \| good	23.437 \| good	21.974 \| good	1.583 \| good	6.959 \| good	0.174 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.407 \| good	28.747 \| good	23.174 \| good	1.649 \| good	7.122 \| good	0.175 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.361 \| good	23 \| good	25.785 \| good	1.714 \| good	7.284 \| good	0.175 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.671 \| good	24.267 \| good	23.914 \| good	1.8 \| good	6.703 \| good	0.171 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.424 \| good	23.149 \| good	21.421 \| good	1.885 \| good	6.122 \| good	0.166 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.372 \| good	23 \| good	20.443 \| good	1.971 \| good	5.541 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.725 \| good	24.83 \| good	18.381 \| good	2.126 \| good	5.248 \| good	0.159 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.465 \| good	23.223 \| good	17.231 \| good	2.281 \| good	4.955 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.96 \| good	21.23 \| good	19.211 \| good	2.436 \| good	4.661 \| good	0.155 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.706 \| good	20.351 \| good	18.363 \| good	2.459 \| good	5.414 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.747 \| good	20.789 \| good	20.273 \| good	2.482 \| good	6.166 \| good	0.17 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.629 \| good	20.046 \| good	21.768 \| good	2.505 \| good	6.918 \| good	0.177 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.815 \| good	16.805 \| good	22.836 \| good	2.489 \| good	5.746 \| good	0.171 \| good
2025-10-23T14:00:00.000Z	23 \| good	2.599 \| good	10.682 \| good	25.124 \| good	2.473 \| good	4.573 \| good	0.164 \| good
2025-10-23T15:00:00.000Z	24 \| good	1.737 \| good	7.114 \| good	25.568 \| good	2.457 \| good	3.4 \| good	0.158 \| good
2025-10-23T16:00:00.000Z	23 \| good	2.228 \| good	9 \| good	25.13 \| good	2.199 \| good	2.956 \| good	0.152 \| good
2025-10-23T17:00:00.000Z	23 \| good	2.813 \| good	11.781 \| good	25.306 \| good	1.941 \| good	2.512 \| good	0.146 \| good
2025-10-23T18:00:00.000Z	22 \| good	2.618 \| good	10.743 \| good	24.186 \| good	1.683 \| good	2.067 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.592 \| good	10.288 \| good	25.99 \| good	1.698 \| good	2.312 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	24 \| good	2.493 \| good	10 \| good	25.612 \| good	1.713 \| good	2.556 \| good	0.143 \| good
2025-10-23T21:00:00.000Z	21 \| good	1.757 \| good	7.172 \| good	23.438 \| good	1.728 \| good	2.801 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	25 \| good	0.987 \| good	3.972 \| good	27.456 \| good	1.835 \| good	4.892 \| good	0.162 \| good
2025-10-23T23:00:00.000Z	24 \| good	1.173 \| good	4.871 \| good	25.761 \| good	1.942 \| good	6.982 \| good	0.179 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.562 \| good	10.308 \| good	23.318 \| good	2.048 \| good	9.073 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.268 \| good	14.053 \| good	24.196 \| good	2.199 \| good	8.494 \| good	0.194 \| good
2025-10-24T02:00:00.000Z	24 \| good	3.111 \| good	12.892 \| good	25.785 \| good	2.35 \| good	7.915 \| good	0.192 \| good
2025-10-24T03:00:00.000Z	24 \| good	2.744 \| good	11.215 \| good	25.817 \| good	2.5 \| good	7.336 \| good	0.189 \| good
2025-10-24T04:00:00.000Z	22 \| good	2.741 \| good	10.987 \| good	24.275 \| good	2.477 \| good	6.629 \| good	0.183 \| good
2025-10-24T05:00:00.000Z	20 \| good	1.964 \| good	8.09 \| good	22.124 \| good	2.453 \| good	5.922 \| good	0.177 \| good
2025-10-24T06:00:00.000Z	17 \| good	2.361 \| good	9.693 \| good	17.777 \| good	2.43 \| good	5.215 \| good	0.171 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.475 \| good	15.059 \| good	13.006 \| good	2.429 \| good	5.091 \| good	0.17 \| good
2025-10-24T08:00:00.000Z	27 \| good	4.664 \| good	20.053 \| good	9.143 \| good	2.428 \| good	4.966 \| good	0.168 \| good
2025-10-24T09:00:00.000Z	27 \| good	5.138 \| good	22.084 \| good	7.782 \| good	2.427 \| good	4.842 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	27 \| good	5.348 \| good	23.052 \| good	6.998 \| good	2.551 \| good	5.925 \| good	0.18 \| good
2025-10-24T11:00:00.000Z	27 \| good	4.658 \| good	19.939 \| good	7.138 \| good	2.675 \| good	7.008 \| good	0.193 \| good
2025-10-24T12:00:00.000Z	22 \| good	4.384 \| good	19.335 \| good	7.068 \| good	2.8 \| good	8.091 \| good	0.206 \| good
2025-10-24T13:00:00.000Z	22 \| good	3.629 \| good	16.254 \| good	15.186 \| good	2.683 \| good	6.463 \| good	0.196 \| good
2025-10-24T14:00:00.000Z	20 \| good	3.407 \| good	14.896 \| good	21.837 \| good	2.567 \| good	4.835 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	22 \| good	3.77 \| good	16.491 \| good	24.153 \| good	2.45 \| good	3.207 \| good	0.176 \| good
2025-10-24T16:00:00.000Z	23 \| good	3.558 \| good	15.742 \| good	24.7 \| good	2.127 \| good	2.828 \| good	0.17 \| good
2025-10-24T17:00:00.000Z	26 \| good	2.234 \| good	9.106 \| good	27.708 \| good	1.803 \| good	2.448 \| good	0.163 \| good
2025-10-24T18:00:00.000Z	27 \| good	1.588 \| good	6.357 \| good	29.062 \| good	1.48 \| good	2.069 \| good	0.156 \| good

Richland township

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Richland Township, Pennsylvania air quality map: Track AQI near you

0.21ppm

How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Richland Township, Pennsylvania updated?

The air quality for Richland Township, Pennsylvania is updated every hour.

When was the worst air quality at Richland Township, Pennsylvania in the last 24 hrs?

The worst air quality in Richland Township, Pennsylvania in the last 24 hours was observed at 01:00:00 on 2025-10-22.

When was the best air quality at Richland Township, Pennsylvania in the last 24 hrs?

In the last 24 hrs, the best air quality in Richland Township, Pennsylvania was observed at 02:00:00 on 2025-10-22.

What is the current air quality in Richland Township, Pennsylvania?

The current air quality in Richland Township, Pennsylvania is 27, categorized as Good based on real-time data.

What pollutant is the most common in Richland Township, Pennsylvania?

The most common pollutant in Richland Township, Pennsylvania is PM10.

What should I do if the air quality in Richland Township, Pennsylvania is poor?

If the air quality in Richland Township, Pennsylvania is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Richland Township, Pennsylvania?

The current PM_2.5 concentration at Richland Township, Pennsylvania is 5.3 μg/m³.

What is the current concentration of PM₁₀ in Richland Township, Pennsylvania?

The current PM₁₀ concentration at Richland Township, Pennsylvania is 28.531 μg/m³.

What is the current concentration of carbon monoxide (CO) in Richland Township, Pennsylvania?

The current carbon monoxide (CO) concentration at Richland Township, Pennsylvania is 0.219 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Richland Township, Pennsylvania?

The current sulfur dioxide (SO₂) concentration at Richland Township, Pennsylvania is 0.282 ppb.

What is the current concentration of ozone (O₃) in Richland Township, Pennsylvania?

The current ozone (O₃) concentration at Richland Township, Pennsylvania is 27.851 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Richland Township, Pennsylvania?

The current nitrogen dioxide (NO₂) concentration at Richland Township, Pennsylvania is 3.638 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	22 \| good	2.525 \| good	13.505 \| good	24.271 \| good	0.229 \| good	7.027 \| good	0.27 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.797 \| good	15.268 \| good	19.585 \| good	0.249 \| good	8.238 \| good	0.27 \| good
2025-10-21T06:00:00.000Z	20 \| good	3.333 \| good	17.643 \| good	21.718 \| good	0.245 \| good	5.891 \| good	0.18 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.219 \| good	19.526 \| good	18.501 \| good	0.214 \| good	6.832 \| good	0.23 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.636 \| good	17.113 \| good	15.849 \| good	0.256 \| good	5.4 \| good	0.208 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.982 \| good	17.989 \| good	10.199 \| good	0.256 \| good	7.857 \| good	0.208 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.968 \| good	21.552 \| good	10.367 \| good	0.387 \| good	10.053 \| good	0.244 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.93 \| good	17.244 \| good	12.286 \| good	0.384 \| good	12.406 \| good	0.243 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.828 \| good	20.141 \| good	7.038 \| good	0.569 \| good	14.832 \| good	0.382 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.565 \| good	23.299 \| good	7.791 \| good	0.738 \| good	13.435 \| good	0.463 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.662 \| good	24.936 \| good	6.447 \| good	0.986 \| good	14.423 \| good	0.493 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.921 \| good	31 \| good	11.915 \| good	1.586 \| good	13.366 \| good	0.37 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.643 \| good	34.472 \| good	16.973 \| good	1.634 \| good	11.021 \| good	0.317 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.14 \| good	18.84 \| good	22.199 \| good	1.032 \| good	10.105 \| good	0.258 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.767 \| good	17.502 \| good	27.946 \| good	0.54 \| good	5.937 \| good	0.268 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.725 \| good	15.129 \| good	33.036 \| good	0.532 \| good	5.296 \| good	0.241 \| good
2025-10-21T20:00:00.000Z	32 \| good	2.817 \| good	11.654 \| good	35.13 \| good	0.316 \| good	5.648 \| good	0.241 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.243 \| good	15.271 \| good	39.266 \| good	0.301 \| good	6.369 \| good	0.281 \| good
2025-10-21T22:00:00.000Z	35 \| good	3.143 \| good	13.183 \| good	38.062 \| good	0.339 \| good	9.32 \| good	0.281 \| good
2025-10-21T23:00:00.000Z	32 \| good	3.503 \| good	19.398 \| good	34.508 \| good	0.346 \| good	19.16 \| good	0.308 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.755 \| good	26.355 \| good	31.339 \| good	0.352 \| good	14.836 \| good	0.334 \| good
2025-10-22T01:00:00.000Z	27 \| good	4.738 \| good	24.988 \| good	23.556 \| good	0.386 \| good	18.5 \| good	0.334 \| good
2025-10-22T02:00:00.000Z	23 \| good	4.49 \| good	18.704 \| good	25.491 \| good	0.246 \| good	17.427 \| good	0.297 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	9.645 \| good	43.158 \| good	24.743 \| good	2.23 \| good	9 \| good	0.192 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.255 \| good	28.977 \| good	26.054 \| good	0.329 \| good	14.191 \| good	0.296 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.1 \| good	30.4 \| good	24.294 \| good	0.309 \| good	12.301 \| good	0.246 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.85 \| good	35.216 \| good	25.354 \| good	0.277 \| good	12.826 \| good	0.246 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.441 \| good	28.865 \| good	20.8 \| good	0.294 \| good	14.025 \| good	0.246 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.668 \| good	25.446 \| good	25.676 \| good	0.304 \| good	10.099 \| good	0.12 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.062 \| good	25.71 \| good	21.497 \| good	0.295 \| good	12.096 \| good	0.246 \| good
2025-10-22T10:00:00.000Z	38 \| good	6.541 \| good	33.377 \| good	19.362 \| good	0.285 \| good	11.744 \| good	0.291 \| good
2025-10-22T11:00:00.000Z	38 \| good	6.795 \| good	29.375 \| good	19.45 \| good	0.156 \| good	12.045 \| good	0.291 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	10.094 \| good	40.629 \| good	15.818 \| good	0.187 \| good	9.93 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	52 \| moderate	9.835 \| good	32.53 \| good	15.915 \| good	0.189 \| good	9.423 \| good	0.341 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.808 \| good	16.279 \| good	20.104 \| good	0.331 \| good	5.394 \| good	0.28 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.908 \| good	25.211 \| good	23.549 \| good	0.399 \| good	5.636 \| good	0.28 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.806 \| good	16.941 \| good	25.23 \| good	0.304 \| good	5.066 \| good	0.246 \| good
2025-10-22T17:00:00.000Z	27 \| good	5.3 \| good	28.531 \| good	27.851 \| good	0.282 \| good	3.638 \| good	0.219 \| good
2025-10-22T18:00:00.000Z	29 \| good	2.88 \| good	17.489 \| good	30.715 \| good	0.257 \| good	3.334 \| good	0.18 \| good
2025-10-22T19:00:00.000Z	28 \| good	2.66 \| good	11.302 \| good	29.632 \| good	0.248 \| good	2.841 \| good	0.18 \| good
2025-10-22T20:00:00.000Z	25 \| good	2.861 \| good	13.03 \| good	27.026 \| good	0.274 \| good	4.006 \| good	0.23 \| good
2025-10-22T21:00:00.000Z	26 \| good	3.128 \| good	12.768 \| good	27.796 \| good	0.236 \| good	4.006 \| good	0.204 \| good
2025-10-22T22:00:00.000Z	26 \| good	3.131 \| good	13.296 \| good	27.981 \| good	0.245 \| good	4.089 \| good	0.204 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.388 \| good	13.335 \| good	28.827 \| good	0.242 \| good	6.192 \| good	0.23 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.302 \| good	17.129 \| good	26.744 \| good	0.272 \| good	9.426 \| good	0.254 \| good
2025-10-23T01:00:00.000Z	23 \| good	4.184 \| good	14.159 \| good	24.589 \| good	0.79 \| good	9.536 \| good	0.268 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.32 \| good	19.946 \| good	23.733 \| good	0.245 \| good	10.553 \| good	0.268 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.32 \| good	19.946 \| good	23.733 \| good	0.245 \| good	10.553 \| good	0.268 \| good
2025-10-22T19:00:00.000Z	31 \| good	3.569 \| good	15.912 \| good	33.236 \| good	1.261 \| good	1.846 \| good	0.135 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.835 \| good	16.801 \| good	31.189 \| good	1.286 \| good	2.272 \| good	0.139 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.396 \| good	15.036 \| good	30.476 \| good	1.31 \| good	2.697 \| good	0.143 \| good
2025-10-22T22:00:00.000Z	28 \| good	2.595 \| good	10.294 \| good	30.019 \| good	1.38 \| good	4.064 \| good	0.153 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.296 \| good	14.111 \| good	26.274 \| good	1.449 \| good	5.43 \| good	0.163 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.639 \| good	20.18 \| good	23.137 \| good	1.518 \| good	6.797 \| good	0.174 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.542 \| good	23.437 \| good	21.974 \| good	1.583 \| good	6.959 \| good	0.174 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.407 \| good	28.747 \| good	23.174 \| good	1.649 \| good	7.122 \| good	0.175 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.361 \| good	23 \| good	25.785 \| good	1.714 \| good	7.284 \| good	0.175 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.671 \| good	24.267 \| good	23.914 \| good	1.8 \| good	6.703 \| good	0.171 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.424 \| good	23.149 \| good	21.421 \| good	1.885 \| good	6.122 \| good	0.166 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.372 \| good	23 \| good	20.443 \| good	1.971 \| good	5.541 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.725 \| good	24.83 \| good	18.381 \| good	2.126 \| good	5.248 \| good	0.159 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.465 \| good	23.223 \| good	17.231 \| good	2.281 \| good	4.955 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.96 \| good	21.23 \| good	19.211 \| good	2.436 \| good	4.661 \| good	0.155 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.706 \| good	20.351 \| good	18.363 \| good	2.459 \| good	5.414 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.747 \| good	20.789 \| good	20.273 \| good	2.482 \| good	6.166 \| good	0.17 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.629 \| good	20.046 \| good	21.768 \| good	2.505 \| good	6.918 \| good	0.177 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.815 \| good	16.805 \| good	22.836 \| good	2.489 \| good	5.746 \| good	0.171 \| good
2025-10-23T14:00:00.000Z	23 \| good	2.599 \| good	10.682 \| good	25.124 \| good	2.473 \| good	4.573 \| good	0.164 \| good
2025-10-23T15:00:00.000Z	24 \| good	1.737 \| good	7.114 \| good	25.568 \| good	2.457 \| good	3.4 \| good	0.158 \| good
2025-10-23T16:00:00.000Z	23 \| good	2.228 \| good	9 \| good	25.13 \| good	2.199 \| good	2.956 \| good	0.152 \| good
2025-10-23T17:00:00.000Z	23 \| good	2.813 \| good	11.781 \| good	25.306 \| good	1.941 \| good	2.512 \| good	0.146 \| good
2025-10-23T18:00:00.000Z	22 \| good	2.618 \| good	10.743 \| good	24.186 \| good	1.683 \| good	2.067 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.592 \| good	10.288 \| good	25.99 \| good	1.698 \| good	2.312 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	24 \| good	2.493 \| good	10 \| good	25.612 \| good	1.713 \| good	2.556 \| good	0.143 \| good
2025-10-23T21:00:00.000Z	21 \| good	1.757 \| good	7.172 \| good	23.438 \| good	1.728 \| good	2.801 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	25 \| good	0.987 \| good	3.972 \| good	27.456 \| good	1.835 \| good	4.892 \| good	0.162 \| good
2025-10-23T23:00:00.000Z	24 \| good	1.173 \| good	4.871 \| good	25.761 \| good	1.942 \| good	6.982 \| good	0.179 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.562 \| good	10.308 \| good	23.318 \| good	2.048 \| good	9.073 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.268 \| good	14.053 \| good	24.196 \| good	2.199 \| good	8.494 \| good	0.194 \| good
2025-10-24T02:00:00.000Z	24 \| good	3.111 \| good	12.892 \| good	25.785 \| good	2.35 \| good	7.915 \| good	0.192 \| good
2025-10-24T03:00:00.000Z	24 \| good	2.744 \| good	11.215 \| good	25.817 \| good	2.5 \| good	7.336 \| good	0.189 \| good
2025-10-24T04:00:00.000Z	22 \| good	2.741 \| good	10.987 \| good	24.275 \| good	2.477 \| good	6.629 \| good	0.183 \| good
2025-10-24T05:00:00.000Z	20 \| good	1.964 \| good	8.09 \| good	22.124 \| good	2.453 \| good	5.922 \| good	0.177 \| good
2025-10-24T06:00:00.000Z	17 \| good	2.361 \| good	9.693 \| good	17.777 \| good	2.43 \| good	5.215 \| good	0.171 \| good
2025-10-24T07:00:00.000Z	16 \| good	3.475 \| good	15.059 \| good	13.006 \| good	2.429 \| good	5.091 \| good	0.17 \| good
2025-10-24T08:00:00.000Z	27 \| good	4.664 \| good	20.053 \| good	9.143 \| good	2.428 \| good	4.966 \| good	0.168 \| good
2025-10-24T09:00:00.000Z	27 \| good	5.138 \| good	22.084 \| good	7.782 \| good	2.427 \| good	4.842 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	27 \| good	5.348 \| good	23.052 \| good	6.998 \| good	2.551 \| good	5.925 \| good	0.18 \| good
2025-10-24T11:00:00.000Z	27 \| good	4.658 \| good	19.939 \| good	7.138 \| good	2.675 \| good	7.008 \| good	0.193 \| good
2025-10-24T12:00:00.000Z	22 \| good	4.384 \| good	19.335 \| good	7.068 \| good	2.8 \| good	8.091 \| good	0.206 \| good
2025-10-24T13:00:00.000Z	22 \| good	3.629 \| good	16.254 \| good	15.186 \| good	2.683 \| good	6.463 \| good	0.196 \| good
2025-10-24T14:00:00.000Z	20 \| good	3.407 \| good	14.896 \| good	21.837 \| good	2.567 \| good	4.835 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	22 \| good	3.77 \| good	16.491 \| good	24.153 \| good	2.45 \| good	3.207 \| good	0.176 \| good
2025-10-24T16:00:00.000Z	23 \| good	3.558 \| good	15.742 \| good	24.7 \| good	2.127 \| good	2.828 \| good	0.17 \| good
2025-10-24T17:00:00.000Z	26 \| good	2.234 \| good	9.106 \| good	27.708 \| good	1.803 \| good	2.448 \| good	0.163 \| good
2025-10-24T18:00:00.000Z	27 \| good	1.588 \| good	6.357 \| good	29.062 \| good	1.48 \| good	2.069 \| good	0.156 \| good

Richland Township, Pennsylvania live air quality index now

Major air pollutants in Richland Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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